For my Critical AI Analysis Paper, I plan to study the Spotify recommendation algorithm. I chose Spotify topic because I use it to listen to music a lot and I really want to understand how it decides what songs and artists to recommend to me. The recommendations can feel personal because Spotify uses information about …
Category: Student Work
Sep 29
Assignment 1 Proposal
My proposal for the “Assignment 1: Critical AI Analysis Paper” is to compare the ability of multiple AI to come up with statements based on simple topics. Since AI are essentially databases, this will make it easier to see how certain AI “think.” It’s obvious that AI can make mistakes so being perfect isn’t the …
Sep 27
September 15: Response to First Two Weeks
The progression of AI (artificial intelligence) seems to be without an end. AI has been on a quick and steady path to becoming a major impact on society. Being a useful tool that can be used for good, though can be used for bad if in the wrong hands. The consequences of such a tool, …
Sep 24
Elyas Obad: Thoughts On All Readings from 09/15-10/06
Artificial intelligence is not as neutral as I once thought. Crawford explains that AI can reflect the “characteristics of the dominant voice in their code and in the data they use to learn, and that is male and white.”¹ This stood out to me because AI is created by humans, meaning the biases that already …
Sep 17
Reading for Sep 29 – Oct 6
Reading 1 “Artificial Intelligence’s White Guys Problem” Through reading this article Kate Crawford explains how A.I can be very biased because it’s created and trained by humans. She talks about how technology can sometimes treat people very different due to their race or even gender due to the information that’s given to train AI can …
Sep 15
Readings for September 15
Crawford, Atlas of AI (Excerpt)I enjoyed reading the article, “Ethics at arm’s length”: Kate Crawford book excerpt because it talks about the downsides of AI, like taking user data. First of all, there seem to be a lot of bias generated by AI as most systems seem to reflect the “characteristics of the dominant voice …
Sep 15
Ethics at arm’s length and IBM LLM
In the article Ethics Act. Arm’s Length by Kate Crawford. Umm, which is an excerpt from her book Atlas of AI. She argues that researchers and technology Companies can become disconnected from the real people who are affected by the systems they create. In the article, Crawford argues that. When it comes to these AI …
Sep 14
First Three Readings
Reading 1 “Turning Computing Machinery & Intelligence” I learned that human have always questioned what it really means to think and to be intelligent. Turning explains that instead of asking whether a machine guy truly thinks we can look at how well it can communicate and act like a human. This made me realize that …
Sep 13
Thoughts on The First Three Readings and the Concept of AGI.
I have to write this in a two prong response against both Turing and the industry as a whole in a way that keeps coming for me and can appropriately be filtered through the Ethics at Arm’s Length piece by Kate Crawford. I think what was most fascinating about doing the deep dive into the …
